Prépublication
· 2026 arXiv
EN
Knowledge distillation trains student models on teacher-generated responses to transfer task capability, but those responses may also carry behavioral tendencies of their source. We investigate whether the source teacher can shape student behavior beyond the c...
Yu-Chien Tang, An-Zi Yen
#cs.CL
Prépublication
· 2026 arXiv
EN
Large language models (LLMs) increasingly act as personal assistants; however, little is known about how they capture national-level preferences on a global scale. Given that "time" is a universal and representative concept, we examine LLMs' time preferences b...
Yifan He, Sofie Goethals et al.
#cs.CY
Prépublication
· 2026 arXiv
EN
Buildings cause nearly 40\% of carbon emissions in the US. Of total building emissions, HVAC systems are responsible for approximately 40-60\% and account for 15\% of global energy consumption. Despite advances in artificial intelligence, most buildings still...
Judah Goldfeder, Ayush Rai et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Clinical trial protocols serve as the source of truth for study design, but are mostly written and used as unstructured PDF documents. Digitizing protocols turns static content into structured, machine-readable data that clinical software can analyze, validate...
Jiacheng Lin, Geoffrey Low et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Egocentric video understanding spans diverse capabilities, modalities, and evaluation formats, yet these are often studied in isolation despite their tight coupling in real-world interaction. We propose the Ego-Action-World interaction loop as a unifying princ...
Songruo Chen, Yuqian Fu et al.
#cs.CV
Prépublication
· 2026 arXiv
EN
Autoformalization (AF) requires more than compilation: formal statements must preserve the meaning of their informal sources, a property known as faithfulness. An emerging frontier is the automated evaluation of this property, yet most existing methods operate...
Yuming Feng, Tadd Mao et al.
#cs.CL
Prépublication
· 2026 arXiv
EN
Tool-call judges evaluate argument values proposed by LLM agents. We find that they accept a correct value less often when their input holds no reference for it, that is, no text that says what the value should be. This happens when the value is a default valu...
Linhai Ma, Yan Wang et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Objective digital measures of depression severity could complement conventional symptom assessments and facilitate more timely clinical evaluation. Here, we investigated whether task-evoked eye movements provide interpretable behavioral markers of depression s...
Youxiang Sun, Yujie Nie et al.
#eess.SP
Prépublication
· 2026 arXiv
EN
Terminal agents have shown strong abilities in complex coding tasks. However, they often struggle to recover from errors during long-running execution (e.g., command errors, faulty implementations), eventually leading to task failures. To this end, we present...
Wei Xie, Kaituo Feng et al.
#cs.AI
Prépublication
· 2026 arXiv
EN
Large vision-language models (LVLMs) have shown strong potential for embodied vision-language navigation (VLN), yet their performance degrades on long-horizon trajectories due to context-length limits, redundant historical observations, and unstable spatial al...
Xueyao Wei, Yifei Wang et al.
#cs.RO
Prépublication
· 2026 arXiv
EN
People increasingly bring their health questions to ChatGPT, yet safety evaluations of LLM health advice rest almost entirely on clinician-authored vignettes, synthetic prompts, or simulated user profiles. The gap is widest for the Global South, where concerns...
Shreyasi Roy Chowdhury, Kiran Garimella
#cs.CY
Prépublication
· 2026 arXiv
EN
Cloud droplets respond to turbulent motion with finite inertia and settle under gravity, while condensation and evaporation change their sizes. The nonuniform accumulation of cloud droplets in turbulent flows, known as preferential concentration, has attracted...
Zi-Mo Liao
#physics.flu-dyn